The EMMA main ring lattice

Berg, Scott

doi:10.1016/j.nima.2008.08.068

Cited by 10 publications

(4 citation statements)

References 24 publications

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“…6. Closed orbit as a function of energy from 10 MeV to 20 MeV (top) and magnetic fields obtained from PyZgoubi tracking data (bottom) in one cell of the 42-cell EMMA F-D doublet non-scaling FFAG lattice design [17]. The transverse extent of the magnets is illustrative as there are no transverse boundaries in the model, the extent of the field displayed depends on the range of test particles used and can be controlled by the user.…”

Section: Dynamic Aperture Algorithms For Ffagsmentioning

confidence: 99%

“…The smaller and simpler magnet designs have led to several proposals for their use which include the PAMELA (Proton Accelerator for MEdicaL Applications) design study for particle therapy [16]. The first demonstration of a non-scaling FFAG was recently made using the EMMA (Electron Machine with Many Applications) experiment [17][18][19]. The fact that a particle's radial orbit changes significantly within the accelerator magnets means that their simulation differs from that required in many other accelerator design codes.…”

Section: Introductionmentioning

confidence: 99%

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The PyZgoubi framework and the simulation of dynamic aperture in fixed-field alternating-gradient accelerators

Tygier¹,

Appleby²,

Garland³

et al. 2015

Nuclear Instruments and Methods in Physics Research Section A:

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a b s t r a c tWe present PyZgoubi, a framework that has been developed based on the tracking engine Zgoubi to model, optimise and visualise the dynamics in particle accelerators, especially fixed-field alternatinggradient (FFAG) accelerators. We show that PyZgoubi abstracts Zgoubi by wrapping it in an easy-to-use Python framework in order to allow simple construction, parameterisation, visualisation and optimisation of FFAG accelerator lattices. Its object oriented design gives it the flexibility and extensibility required for current novel FFAG design. We apply PyZgoubi to two example FFAGs; this includes determining the dynamic aperture of the PAMELA medical FFAG in the presence of magnet misalignments, and illustrating how PyZgoubi may be used to optimise FFAGs. We also discuss a robust definition of dynamic aperture in an FFAG and show its implementation in PyZgoubi.

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Section: Dynamic Aperture Algorithms For Ffagsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The PyZgoubi framework and the simulation of dynamic aperture in fixed-field alternating-gradient accelerators

Tygier¹,

Appleby²,

Garland³

et al. 2015

Nuclear Instruments and Methods in Physics Research Section A:

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“…The first NS-FFAG, the Electron Model for Many Applications (EMMA) [19], has been built and will soon be commissioned at the Daresbury Laboratory, England. This is a proof of principle of the NS-FFAG concept for the fixed frequency acceleration of relativistic electrons, muons, and other ions.…”

Section: Nonscaling Vs Scaling Ffagmentioning

confidence: 99%

FFAGs as Accelerators and Beam Delivery Devices for Ion Cancer Therapy

Trbojević

2009

Rev. Accl. Sci. Tech.

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First, a review is given of fixed field alternating gradient (FFAG) accelerators, presenting a bit of their history and basic concepts. Special attention is paid to the concept of scaling (S-FFAG) and nonscaling (NS-FFAG) FFAGs. This notation is used only in the NS-FFAG part of the article. A discussion is then provided on operating FFAGs. A presentation is made of the designs being considered for S-FFAGs. A bit more is said about the concept of the NS-FFAG and a resonance crossing problem resulting from designs of the NS-FFAGs. A beam delivery system (gantry) employing the NS-FFAG concept is presented after that and, finally, future plans and R&D requirements are put forward.

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“…The development of the techniques described in this paper was motivated by the need for efficient, accurate modeling of beam dynamics in EMMA [2][3][4][5], a nonscaling fixed-field alternating-gradient accelerator (FFAG). Such machines are of interest for applications such as muon acceleration [6], and hadron cancer therapy [7][8][9], and have been the subject of numerous design studies and beam dynamics simulations [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Use of transfer maps for modeling beam dynamics in a nonscaling fixed-field alternating-gradient accelerator

Giboudot

Wolski

2012

Phys. Rev. ST Accel. Beams

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Transfer maps for magnetic components are fundamental to studies of beam dynamics in accelerators. In the work presented here, transfer maps are computed in Taylor form for a particle moving through any specified magnetostatic field by applying an explicit symplectic integrator in a differential algebra code. The techniques developed are illustrated by their application to study the beam dynamics in the electron model for many applications (EMMA), the first nonscaling fixed-field alternating-gradient accelerator ever built. The EMMA lattice has 4 degrees of freedom (strength and transverse position of each of the two quadrupoles in each periodic cell). Transfer maps may be used to predict efficiently the dynamics in any lattice configuration. The transfer map is represented by a mixed variable generating function, obtained by interpolation between the maps for a set of reference configurations: use of mixed variable generating functions ensures the symplecticity of the map. An optimization routine uses the interpolation technique to look for a lattice defined by four constraints on the time of flight at different beam energies. This provides a way to determine the lattice configuration required to produce the desired dynamical characteristics. These tools are benchmarked against data from the recent EMMA commissioning.

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The EMMA main ring lattice

Cited by 10 publications

References 24 publications

The PyZgoubi framework and the simulation of dynamic aperture in fixed-field alternating-gradient accelerators

The PyZgoubi framework and the simulation of dynamic aperture in fixed-field alternating-gradient accelerators

FFAGs as Accelerators and Beam Delivery Devices for Ion Cancer Therapy

Use of transfer maps for modeling beam dynamics in a nonscaling fixed-field alternating-gradient accelerator

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